IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i11p1167-d82662.html
   My bibliography  Save this article

Lightweight Design Solutions in the Automotive Field: Environmental Modelling Based on Fuel Reduction Value Applied to Diesel Turbocharged Vehicles

Author

Listed:
  • Massimo Delogu

    (Department of Industrial Engineering, University of Florence, Florence 50139, Italy)

  • Francesco Del Pero

    (Department of Industrial Engineering, University of Florence, Florence 50139, Italy)

  • Marco Pierini

    (Department of Industrial Engineering, University of Florence, Florence 50139, Italy)

Abstract

A tailored model for the assessment of environmental benefits achievable by “light-weighting” in the automotive field is presented. The model is based on the Fuel Reduction Value (FRV) coefficient, which expresses the Fuel Consumption (FC) saving involved by a 100 kg mass reduction. The work is composed of two main sections: simulation and environmental modelling. Simulation modelling performs an in-depth calculation of weight-induced FC whose outcome is the FRV evaluated for a wide range of Diesel Turbocharged (DT) vehicle case studies. Environmental modelling converts fuel saving to impact reduction basing on the FRVs obtained by simulations. Results show that for the considered case studies, FRV is within the range 0.115–0.143 and 0.142–0.388 L/100 km × 100 kg, respectively, for mass reduction only and powertrain adaptation (secondary effects). The implementation of FRVs within the environmental modelling represents the added value of the research and makes the model a valuable tool for application to real case studies of automotive lightweight LCA.

Suggested Citation

  • Massimo Delogu & Francesco Del Pero & Marco Pierini, 2016. "Lightweight Design Solutions in the Automotive Field: Environmental Modelling Based on Fuel Reduction Value Applied to Diesel Turbocharged Vehicles," Sustainability, MDPI, vol. 8(11), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:11:p:1167-:d:82662
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/11/1167/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/8/11/1167/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Siskos, Pelopidas & Capros, Pantelis & De Vita, Alessia, 2015. "CO2 and energy efficiency car standards in the EU in the context of a decarbonisation strategy: A model-based policy assessment," Energy Policy, Elsevier, vol. 84(C), pages 22-34.
    2. Du, J.D. & Han, W.J. & Peng, Y.H. & Gu, C.C., 2010. "Potential for reducing GHG emissions and energy consumption from implementing the aluminum intensive vehicle fleet in China," Energy, Elsevier, vol. 35(12), pages 4671-4678.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ryuji Kawamoto & Hideo Mochizuki & Yoshihisa Moriguchi & Takahiro Nakano & Masayuki Motohashi & Yuji Sakai & Atsushi Inaba, 2019. "Estimation of CO 2 Emissions of Internal Combustion Engine Vehicle and Battery Electric Vehicle Using LCA," Sustainability, MDPI, vol. 11(9), pages 1-15, May.
    2. Ali Keyvanfar & Arezou Shafaghat & Nasiru Zakari Muhammad & M. Salim Ferwati, 2018. "Driving Behaviour and Sustainable Mobility—Policies and Approaches Revisited," Sustainability, MDPI, vol. 10(4), pages 1-27, April.
    3. Giulia Sandrini & Marco Gadola & Daniel Chindamo & Andrea Candela & Paolo Magri, 2023. "Exploring the Impact of Vehicle Lightweighting in Terms of Energy Consumption: Analysis and Simulation," Energies, MDPI, vol. 16(13), pages 1-31, July.
    4. Chih-Chao Chung & Yuh-Ming Cheng & Ru-Chu Shih & Shi-Jer Lou, 2019. "Research on the Learning Effect of the Positive Emotions of "Ship Fuel-Saving Project" APP for Engineering Students," Sustainability, MDPI, vol. 11(4), pages 1-23, February.
    5. Jakov Topić & Branimir Škugor & Joško Deur, 2019. "Neural Network-Based Modeling of Electric Vehicle Energy Demand and All Electric Range," Energies, MDPI, vol. 12(7), pages 1-20, April.
    6. Aleksandar Lozanovski & Nicole Whitehouse & Nathanael Ko & Simon Whitehouse, 2018. "Sustainability Assessment of Fuel Cell Buses in Public Transport," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    7. Roberto Garcia & Gabriel Diaz & Xabiel G. Pañeda & Alejandro G. Tuero & Laura Pozueco & David Melendi & Jose A. Sanchez & Victor Corcoba & Alejandro G. Pañeda, 2017. "Impact of Efficient Driving in Professional Bus Fleets," Energies, MDPI, vol. 10(12), pages 1-25, December.
    8. Dawei Li & Cheng Li & Tomio Miwa & Takayuki Morikawa, 2019. "An Exploration of Factors Affecting Drivers’ Daily Fuel Consumption Efficiencies Considering Multi-Level Random Effects," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    9. Moritz Ostermann & Julian Grenz & Marcel Triebus & Felipe Cerdas & Thorsten Marten & Thomas Tröster & Christoph Herrmann, 2023. "Integrating Prospective Scenarios in Life Cycle Engineering: Case Study of Lightweight Structures," Energies, MDPI, vol. 16(8), pages 1-24, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lee, Shin, 2018. "Transport policies, induced traffic and their influence on vehicle emissions in developed and developing countries," Energy Policy, Elsevier, vol. 121(C), pages 264-274.
    2. Stergios Statharas & Yannis Moysoglou & Pelopidas Siskos & Pantelis Capros, 2021. "Simulating the Evolution of Business Models for Electricity Recharging Infrastructure Development by 2030: A Case Study for Greece," Energies, MDPI, vol. 14(9), pages 1-24, April.
    3. Wu, Tian & Shen, Qu & Xu, Ming & Peng, Tianduo & Ou, Xunmin, 2018. "Development and application of an energy use and CO2 emissions reduction evaluation model for China's online car hailing services," Energy, Elsevier, vol. 154(C), pages 298-307.
    4. AlSabbagh, Maha & Siu, Yim Ling & Guehnemann, Astrid & Barrett, John, 2017. "Integrated approach to the assessment of CO2e-mitigation measures for the road passenger transport sector in Bahrain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 203-215.
    5. González Palencia, Juan C. & Furubayashi, Takaaki & Nakata, Toshihiko, 2014. "Techno-economic assessment of lightweight and zero emission vehicles deployment in the passenger car fleet of developing countries," Applied Energy, Elsevier, vol. 123(C), pages 129-142.
    6. Zhaoshuai Pan & Zhaozhi Zhang & Dong Che, 2023. "Exploring Primary Aluminum Consumption: New Perspectives from Hybrid CEEMDAN-S-Curve Model," Sustainability, MDPI, vol. 15(5), pages 1-21, February.
    7. Jeong, Kwangbok & Hong, Taehoon & Kim, Jimin & Cho, Kyuman, 2019. "Development of a multi-objective optimization model for determining the optimal CO2 emissions reduction strategies for a multi-family housing complex," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 118-131.
    8. Fabio Luis Marques dos Santos & Paolo Tecchio & Fulvio Ardente & Ferenc Pekár, 2021. "User Automotive Powertrain-Type Choice Model and Analysis Using Neural Networks," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    9. Adeel ur Rehman & Bhajan Lal, 2022. "Gas Hydrate-Based CO 2 Capture: A Journey from Batch to Continuous," Energies, MDPI, vol. 15(21), pages 1-27, November.
    10. Mulholland, Eamonn & O'Shea, Richard S.K. & Murphy, Jerry D. & Ó Gallachóir, Brian P., 2016. "Low carbon pathways for light goods vehicles in Ireland," Research in Transportation Economics, Elsevier, vol. 57(C), pages 53-62.
    11. Viñoles-Cebolla, Rosario & Bastante-Ceca, María José & Capuz-Rizo, Salvador F., 2015. "An integrated method to calculate an automobile's emissions throughout its life cycle," Energy, Elsevier, vol. 83(C), pages 125-136.
    12. Hao, Han & Wang, Sinan & Liu, Zongwei & Zhao, Fuquan, 2016. "The impact of stepped fuel economy targets on automaker's light-weighting strategy: The China case," Energy, Elsevier, vol. 94(C), pages 755-765.
    13. Mayyas, Ahmad T. & Qattawi, Ala & Mayyas, Abdel Raouf & Omar, Mohammed A., 2012. "Life cycle assessment-based selection for a sustainable lightweight body-in-white design," Energy, Elsevier, vol. 39(1), pages 412-425.
    14. Jaewon Lim & DooHwan Won, 2019. "Impact of CARB’s Tailpipe Emission Standard Policy on CO 2 Reduction among the U.S. States," Sustainability, MDPI, vol. 11(4), pages 1-15, February.
    15. Agovino, Massimiliano & Ferraro, Aniello & Garofalo, Antonio, 2023. "Are green cars an optimal and efficient choice for motorists? Evidence from Italy," Transport Policy, Elsevier, vol. 141(C), pages 140-151.
    16. Carvalho, Irene & Baier, Thomas & Simoes, Ricardo & Silva, Arlindo, 2012. "Reducing fuel consumption through modular vehicle architectures," Applied Energy, Elsevier, vol. 93(C), pages 556-563.
    17. Hao, Han & Geng, Yong & Hang, Wen, 2016. "GHG emissions from primary aluminum production in China: Regional disparity and policy implications," Applied Energy, Elsevier, vol. 166(C), pages 264-272.
    18. Jaunky, Vishal Chandr, 2013. "Are Shocks To Aluminium Consumption Transitory Or Permanent?," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 9(1-2), January.
    19. Liu, Zhe & Geng, Yong & Adams, Michelle & Dong, Liang & Sun, Lina & Zhao, Jingjing & Dong, Huijuan & Wu, Jiao & Tian, Xu, 2016. "Uncovering driving forces on greenhouse gas emissions in China’ aluminum industry from the perspective of life cycle analysis," Applied Energy, Elsevier, vol. 166(C), pages 253-263.
    20. Shulin Lan & Ming-Lang Tseng, 2018. "Coordinated Development of Metropolitan Logistics and Economy Toward Sustainability," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1113-1138, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:8:y:2016:i:11:p:1167-:d:82662. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.